|
|
|
|
|
Jaekyung Kim, Jungwoo Huh, Ingu Park, Junhyeong Bak, Donggeon Kim and Sanghoon Lee
Deep learning-based object detection is one of the most popular research topics. However, in cases where large-scale datasets are unavailable, the training of detection models remains challenging due to the data-driven characteristics of deep learning. S...
ver más
|
|
|
|
|
|
|
|
|
Ziquan Huang, Shichao Zheng, Dongfang Wang and Xiaogang Deng
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a new ??
?
-adaptive algorithm based on local smoothness indicators is proposed. The new algorithm introduces a high-order global smoothness indicator to a...
ver más
|
|
|
|
|
|
|
|
|
Han Li, Kean Chen, Lei Wang, Jianben Liu, Baoquan Wan and Bing Zhou
Thanks to the development of deep learning, various sound source separation networks have been proposed and made significant progress. However, the study on the underlying separation mechanisms is still in its infancy. In this study, deep networks are ex...
ver más
|
|
|
|
|
|
|
|
|
Nuha Odeh, Anas Toma, Falah Mohammed, Yousef Dama, Farah Oshaibi and Muna Shaar
This paper presents a fast and accurate system to determine the type of blood automatically based on image processing. Blood type determination is important in emergency situations, where there is a need for blood transfusion to save lives. The tradition...
ver más
|
|
|
|
|
|
|
|
|
Qinglian Hou, Cheng Zhou, Rong Wan, Junbo Zhang and Feng Xue
Tuna fish school detection provides information on the fishing decisions of purse seine fleets. Here, we present a recognition system that included fish shoal image acquisition, point extraction, point matching, and data storage. Points are a crucial cha...
ver más
|
|
|
|